Abstract
Today decision makers in enterprises have to rely more and more on a variety of data sets that are internally but also externally available in heterogeneous formats. Therefore, intelligent processes are required to build an integrated knowledge base. Unfortunately, the adoption of the Linked Data lifecycle within enterprises, which targets the extraction, interlinking, publishing, and analytics of distributed data, lags behind the public domain due to the lack of frameworks which are efficient to deploy and easy to use. In this paper we present our adoption of the lifecycle through our generic, enterprise-ready Linked Data workbench. To judge its benefits, we describe its application within a real-world Customer Relationship Management (CRM) scenario. It shows (1) that sales employees could significantly reduce their workload and (2) that the integration of sophisticated Linked Data tools come with an obvious positive Return on Investment (ROI).
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Athanasiou, S., Hladky, D., Giannopoulos, G., Garcia-Rojas, A., Lehmann, J.: GeoKnow: Making the web an exploratory place for geospatial knowledge. European Research Consortium in Informatics and Mathematics News (2014)
Auer, S., et al.: Managing the Life-Cycle of Linked Data with the LOD2 Stack. In: Cudré-Mauroux, P., et al. (eds.) ISWC 2012, Part II. LNCS, vol. 7650, pp. 1–16. Springer, Heidelberg (2012), http://dx.doi.org/10.1007/978-3-642-35173-0_1
Auer, S., Lehmann, J., Ngonga Ngomo, A.-C., Zaveri, A.: Introduction to Linked Data and its lifecycle on the web. In: Rudolph, S., Gottlob, G., Horrocks, I., van Harmelen, F. (eds.) Reasoning Weg 2013. LNCS, vol. 8067, pp. 1–90. Springer, Heidelberg (2013), http://dx.doi.org/10.1007/978-3-642-39784-4_1
Bizer, C., Heath, T., Berners-Lee, T.: Linked Data - the story so far. International Journal on Semantic Web and Information Systems 5(3), 1–22 (2009), http://eprints.soton.ac.uk/271285/
Blomqvist, E.: The use of Semantic Web technologies for decision support - a survey. Semantic Web (October 2012), http://iospress.metapress.com/content/411L726N60G14032
Brewster, C.: Ready for change? transition through turbulence to reformation and transformation. In: Heimer-Rathbone, C. (ed.) Ready for Change? Transition Through Turbulence to Reformation and Transformation, pp. 73–90. Palgrave Macmillan (2012)
Cardoso, J.: The Semantic Web Vision: Where Are We? IEEE Intelligent Systems 22(5), 84–88 (2007)
Frischmuth, P., Auer, S., Tramp, S., Unbehauen, J., Holzweißig, K., Marquardt, C.M.: Towards Linked Data based Enterprise Information Integration. In: Procs. of the Workshop on Semantic Web Enterprise Adoption and Best Practice, WASABI 2013 (2013), http://www.wasabi-ws.org/papers/wasabi03/paper.pdf
Goy, A., Magro, D.: How semantic web technologies can support the mediation between supply and demand in the ict market: The case of customer relationship management. In: Kajan, E., Dorloff, F.D., Bedini, I. (eds.) Handbook of Research on E-Business Standards and Protocols: Documents, Data and Advanced Web Technologies, pp. 185–209. IGI Global (2012)
Hladky, D., Maltseva, S.: Linked Data paradigm for enterprises: information integration and value chain. Biznes-Informatika 24(2), 3–12 (2013), http://bijournal.hse.ru/en/2013--224/86477749.html (in Russian)
Mogollon, M., Raisinghani, M.: Measuring roi in e-business: A practical approach. Information Systems Management 20(2), 63–81 (2003), http://dx.doi.org/10.1201/1078/43204.20.2.20030301/41472.10
Munkvold, B.E., Päivärinta, T., Hodne, A.K., Stangeland, E.: Contemporary Issues of Enterprise Content Management: The Case of Statoil. Scand. J. Inf. Syst. 18(2), 69–100 (2006), http://dl.acm.org/citation.cfm?id=1317114.1317119
Potocki, A., Polukhin, A., Drobyazko, G., Hladky, D., Klintsov, V., Unbehauen, J.: OntoQuad: Native High-Speed RDF DBMS for Semantic Web. In: Klinov, P., Mouromtsev, D. (eds.) KESW 2013. CCIS, vol. 394, pp. 117–131. Springer, Heidelberg (2013), http://dx.doi.org/10.1007/978-3-642-41360-5_10
Rohr, C., Tjondronegoro, D.: Aggregated cross-media news visualization and personalization. In: Proceedings of the 1st ACM International Conference on Multimedia Information Retrieval, MIR 2008, pp. 371–378. ACM, New York (2008), http://doi.acm.org/10.1145/1460096.1460157
Voigt, M., Pietschmann, S., Meißner, K.: A Semantics-Based, End-User-Centered Information Visualization Process for Semantic Web Data. In: Hussein, T., Paulheim, H., Lukosch, S., Ziegler, J., Calvary, G. (eds.) Semantic Models for Adaptive Interactive Systems. Human Computer Interaction Series, pp. 83–107. Springer, Heidelberg (2013), http://dx.doi.org/10.1007/978-1-4471-5301-6_5
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Hladky, D., Maltseva, S., Ogorodniychuk, D., Drobyazko, G., Voigt, M., Le Grange, J.J. (2014). Return on Investment in Linking Content to CRM by Applying the Linked Data Stack. In: Klinov, P., Mouromtsev, D. (eds) Knowledge Engineering and the Semantic Web. KESW 2014. Communications in Computer and Information Science, vol 468. Springer, Cham. https://doi.org/10.1007/978-3-319-11716-4_7
Download citation
DOI: https://doi.org/10.1007/978-3-319-11716-4_7
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11715-7
Online ISBN: 978-3-319-11716-4
eBook Packages: Computer ScienceComputer Science (R0)